About
Dr. Brandon LeBeau is a data scientist, statistical software developer, and educator with deep expertise in analytics strategy, causal inference, and reproducible modeling. He specializes in translating complex data into actionable insights that guide organizational decisions and long-term impact.
With a PhD in Quantitative Methods in Education from the University of Minnesota and an appointment as an Adjunct Associate Professor at the University of Iowa, Brandon combines rigorous scientific training with a pragmatic, results-oriented consulting approach. He has led full-cycle analytics initiatives, from research design and statistical modeling to data engineering and software deployment, and built open-source tools that empower others to reproduce results with confidence.
Beyond his consulting practice, Brandon also curates a personal site at brandonlebeau.org, where he shares research, open-source software, and applied analytics tutorials for the broader data science community.
Brandon’s process begins when organizations are ready to take their data seriously and continues until they have both the insights and the infrastructure to sustain data-informed decisions independently.
“As a data scientist and statistician, I help organizations transform their data into clarity, confidence, and impact.”
Roles
Brandon brings a multi-faceted perspective shaped by years of cross-sector experience in higher education, nonprofit, and corporate environments.
He serves as:
- Senior Data Scientist: designing and leading end-to-end analytic and modeling pipelines, ensuring results are robust, interpretable, and aligned with strategic goals.
- Statistical Software Developer: architecting and maintaining R and Python packages for reproducible simulation, causal inference, and experimental design.
- Analytics Mentor & Educator: equipping teams with the knowledge and workflows to build capacity and confidence in their data use.
- Consultant & Thought Partner: collaborating with organizations to define KPIs, streamline data architecture, and implement scalable analytic processes.
Areas of Expertise
Brandon’s expertise spans the full data science lifecycle, from design to deployment, with specialized depth in the following areas:
Causal & Predictive Modeling
- Experimental and quasi-experimental design
- Multilevel and longitudinal modeling
- Propensity score and treatment effect estimation
- Machine learning (gradient boosting, ensemble modeling, regularization)
Reproducible Analytics & Statistical Software
- R and Python package development (simglm, pdfsearch, mars)
- Automated simulation and power analysis workflows
- Pipeline orchestration and parameterized reporting (R Markdown, Quarto)
Data Visualization & Communication
- Custom dashboards (R Shiny, Tableau)
- Analytical storytelling and data translation for non-technical audiences
- Publication-ready visual design (ggplot2, seaborn)
Leadership & Mentorship
- Building analytics culture and team capability
- Guiding open-source development and collaborative research projects
- Aligning analytics strategy with organizational mission
Partnering for Success
At LeBeau Analytics LLC, we believe in long-term partnerships built on clarity, collaboration, and quality. Our goal is to help organizations strengthen decision-making through transparent, reproducible, and rigorous analytics.
Whether you’re exploring a new data initiative, evaluating impact, or modernizing an analytics pipeline, Brandon is ready to help guide your next steps.